By analysing historical data and incorporating online information, our models will be trained to recognise anomalies, irregularities and potential red flags associated with fraudulent practices.
For example:
- Rotational awarding of tenders
- Competitors agreeing to bid only in certain geographic areas or only to certain public bodies
- The price offered by the same competitor in similar tenders is relatively high in some tenders and relatively low in others.
- The winning company pays ‘profit sharing’ by subcontracting to do part of the work or supply inputs for the project.